Leveraging Artificial Intelligence for Real-Time Demand Forecasting in Retail Supply Chains
Abstract
Accurate demand forecasting is crucial for optimizing inventory levels and reducing stockouts in retail supply chains. This paper presents a novel approach that leverages artificial intelligence (AI) techniques, including machine learning and deep learning, for real-time demand forecasting. We provide a comparative analysis of various AI models and demonstrate their effectiveness in improving forecast accuracy and supply chain efficiency.
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